Atmospheric Science Expert (AI Training) About The Role What if your deep knowledge of atmospheric science — climate systems, weather modeling, ecological dynamics — could directly shape how AI understands and reasons about our planet? We're looking for Atmospheric Science experts with advanced degrees to develop and evaluate complex, real-world scientific problems that train cutting-edge AI models. Your expertise won't just sit in a research paper — it will be embedded into AI systems used by millions.

This is a fully remote, versatile contract role built for researchers, academics, and working scientists who want meaningful, well-compensated work on their own schedule.

Organization: Alignerr

Type: Hourly Contract

Location: Remote

Commitment: 10–40 hours/week What You'll Do Develop, solve, and review advanced atmospheric and environmental science problems grounded in real-world relevance

Apply your expertise in climate modeling, ecology, atmospheric dynamics, or sustainability to design rigorous, complex problem statements

Evaluate AI-generated scientific reasoning for accuracy, depth, and scientific integrity

Collaborate asynchronously with AI researchers and fellow domain experts to push the boundaries of AI reasoning in your field

Ensure scientific rigor, clarity,



and precision across all deliverables Who You Are Holds a Master's or PhD in Atmospheric Science, Environmental Science, Climate Science, or a closely related field

Proficient in Python or R for research, data analysis, or scientific modeling

Deep expertise in one or more of: climate modeling, atmospheric physics, ecology, or sustainability science

Exceptional written communicator — you can translate complex science into clear, precise language

Detail-oriented and self-motivated when working independently

Fluent in English Nice to Have Prior experience with data annotation, quality evaluation, or AI training workflows

Background in scientific writing, peer review, or curriculum development

Familiarity with AI tools or large language model evaluation

Experience designing problem sets, research questions, or exam content Why Join Us Work on cutting-edge AI projects alongside leading AI research labs

Fully remote and flexible — work when and where it suits you

Freelance autonomy with the structure of meaningful, task-based scientific work

Make a direct, lasting impact on how AI understands science and the natural world

Potential for ongoing work and contract extension as new projects launch

📌 Atmospheric Science Expert (Masters/PhDs) (Melbourne)
🏢 Alignerr
📍 Melbourne